Josh Dillon, Last Revised January 2022
This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')
antenna = "27" csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_" auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')
Found 31 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_ Found 31 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0
def jd_to_summary_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'
def jd_to_auto_metrics_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'
this_antenna = None
jds = []
# parse information about antennas and nodes
for csv in csvs:
df = pd.read_csv(csv)
for n in range(len(df)):
# Add this day to the antenna
row = df.loc[n]
if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
else:
antnum = int(row['Ant'])
if antnum != int(antenna):
continue
if np.issubdtype(type(row['Node']), np.integer):
row['Node'] = str(row['Node'])
if type(row['Node']) == str and row['Node'].isnumeric():
row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
if this_antenna is None:
this_antenna = Antenna(row['Ant'], row['Node'])
jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
jds.append(jd)
this_antenna.add_day(jd, row)
break
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]
df = pd.DataFrame(to_show)
# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
df[col] = bar_cols[col]
z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
df[col] = z_score_cols[col]
ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
df[col] = ant_metrics_cols[col]
redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]
for col in redcal_cols:
df[col] = redcal_cols[col]
# style dataframe
table = df.style.hide_index()\
.applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
.background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
.background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
.applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
.format({col: '{:,.4f}'.format for col in z_score_cols}) \
.format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
.format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
.set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])
This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))
| JDs | A Priori Status | Auto Metrics Flags | Dead Fraction in Ant Metrics (Jee) | Dead Fraction in Ant Metrics (Jnn) | Crossed Fraction in Ant Metrics | Flag Fraction Before Redcal | Flagged By Redcal chi^2 Fraction | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | Average Dead Ant Metric (Jee) | Average Dead Ant Metric (Jnn) | Average Crossed Ant Metric | Median chi^2 Per Antenna (Jee) | Median chi^2 Per Antenna (Jnn) |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2460014 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 10.310278 | 12.334316 | 8.415637 | 8.653680 | 8.840370 | 10.479280 | 1.868329 | 1.334444 | 0.0291 | 0.0294 | 0.0006 | nan | nan |
| 2460013 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 11.022832 | 14.469575 | 11.151138 | 11.425772 | 6.067418 | 7.165154 | 3.626132 | 2.945145 | 0.0300 | 0.0300 | 0.0005 | nan | nan |
| 2460012 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 10.018856 | 13.589467 | 10.954717 | 11.255733 | 6.463248 | 7.756629 | 4.023918 | 3.221366 | 0.0304 | 0.0316 | 0.0006 | nan | nan |
| 2460011 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 11.335149 | 14.623823 | 14.585936 | 15.064884 | 13.448213 | 16.045572 | 3.305630 | 2.795375 | 0.0307 | 0.0331 | 0.0006 | nan | nan |
| 2460010 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 12.158499 | 16.009008 | 11.723447 | 12.479410 | 9.225372 | 10.495912 | 3.046621 | 2.419538 | 0.0258 | 0.0255 | 0.0014 | nan | nan |
| 2460009 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 11.285012 | 14.784793 | 13.072251 | 13.745323 | 7.338797 | 8.873986 | 2.761064 | 2.466316 | 0.0345 | 0.0385 | 0.0055 | nan | nan |
| 2460008 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 13.654959 | 18.065544 | 14.302310 | 15.120092 | 6.652344 | 7.796839 | 5.018526 | 5.643500 | 0.0372 | 0.0414 | 0.0058 | nan | nan |
| 2460007 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 10.075866 | 13.532035 | 11.178367 | 11.824065 | 5.939832 | 7.247336 | 3.452270 | 2.811575 | 0.0356 | 0.0395 | 0.0057 | nan | nan |
| 2459999 | RF_maintenance | 0.00% | 100.00% | 100.00% | 0.00% | - | - | nan | nan | nan | nan | nan | nan | nan | nan | 0.0299 | 0.0309 | 0.0020 | nan | nan |
| 2459998 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 8.814476 | 11.446954 | 9.572733 | 10.006087 | 8.028623 | 10.237712 | 2.495198 | 1.817822 | 0.0329 | 0.0360 | 0.0043 | nan | nan |
| 2459997 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| 2459996 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 10.498260 | 13.439099 | 12.730858 | 13.171506 | 7.319440 | 9.296498 | 1.669203 | 1.326949 | 0.0331 | 0.0371 | 0.0048 | nan | nan |
| 2459995 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 10.628122 | 13.628060 | 11.816030 | 12.369375 | 8.053308 | 9.507581 | 1.568117 | 1.306511 | 0.0362 | 0.0408 | 0.0053 | nan | nan |
| 2459994 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 10.218498 | 13.189658 | 10.196691 | 10.831910 | 7.797618 | 9.578014 | 1.372835 | 0.981329 | 0.0337 | 0.0372 | 0.0044 | nan | nan |
| 2459993 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 11.289139 | 12.353708 | 9.474668 | 10.034458 | 10.210294 | 10.950378 | 1.796631 | 2.545125 | 0.0305 | 0.0319 | 0.0031 | nan | nan |
| 2459991 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 12.093565 | 15.348140 | 10.040876 | 10.623430 | 9.206473 | 10.784325 | 1.474650 | 1.024430 | 0.0335 | 0.0364 | 0.0039 | nan | nan |
| 2459990 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 9.810733 | 12.654438 | 9.832426 | 10.317807 | 9.106198 | 11.063529 | 1.450587 | 0.864646 | 0.0348 | 0.0384 | 0.0046 | nan | nan |
| 2459989 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 9.594489 | 12.831621 | 8.750005 | 9.434449 | 8.038596 | 9.285440 | 1.053730 | 0.700951 | 0.0330 | 0.0362 | 0.0042 | nan | nan |
| 2459988 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 11.493211 | 15.011513 | 10.142070 | 10.603264 | 10.825271 | 13.253183 | 1.187406 | 0.803615 | 0.0330 | 0.0357 | 0.0041 | nan | nan |
| 2459987 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 9.488319 | 12.566610 | 9.838097 | 10.468336 | 6.405015 | 7.994966 | 2.392497 | 2.188294 | 0.0347 | 0.0381 | 0.0044 | nan | nan |
| 2459986 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 11.907127 | 15.456235 | 10.774957 | 11.297413 | 9.415073 | 11.289829 | 6.254041 | 9.732616 | 0.0338 | 0.0372 | 0.0044 | nan | nan |
| 2459985 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 11.408813 | 13.935110 | 9.993185 | 10.526459 | 7.255821 | 8.642461 | 3.120223 | 2.149682 | 0.0338 | 0.0370 | 0.0044 | nan | nan |
| 2459984 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 10.408308 | 13.454309 | 10.357270 | 10.909519 | 9.440773 | 12.104785 | 3.167326 | 2.906987 | 0.0353 | 0.0387 | 0.0048 | nan | nan |
| 2459983 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 10.098072 | 13.099537 | 9.912714 | 10.319918 | 9.313680 | 11.186673 | 3.872819 | 6.379010 | 0.0346 | 0.0378 | 0.0042 | nan | nan |
| 2459982 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 8.654340 | 10.877104 | 8.395886 | 8.803095 | 4.537824 | 5.292005 | 2.477638 | 3.275014 | 0.0337 | 0.0370 | 0.0043 | nan | nan |
| 2459981 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 9.521608 | 12.075740 | 10.565115 | 10.976387 | 10.478008 | 12.396419 | 1.603033 | 1.112836 | 0.0354 | 0.0388 | 0.0044 | nan | nan |
| 2459980 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 9.358331 | 11.643604 | 9.496914 | 10.036180 | 9.068516 | 10.844197 | 5.348700 | 5.345249 | 0.0347 | 0.0383 | 0.0045 | nan | nan |
| 2459979 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 9.742740 | 12.136962 | 8.796780 | 9.386124 | 8.965994 | 10.125302 | 1.208057 | 0.791152 | 0.0356 | 0.0372 | 0.0043 | nan | nan |
| 2459978 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 9.711045 | 12.331670 | 9.553601 | 10.105066 | 9.384020 | 10.998893 | 1.610562 | 1.097200 | 0.0325 | 0.0353 | 0.0040 | nan | nan |
| 2459977 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 10.057518 | 13.110266 | 9.383178 | 9.963550 | 9.263383 | 11.323256 | 1.626160 | 1.205823 | 0.0351 | 0.0387 | 0.0046 | nan | nan |
| 2459976 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 9.909564 | 12.571078 | 9.874516 | 10.374235 | 9.466361 | 10.883477 | 1.827966 | 1.324100 | 0.0332 | 0.0365 | 0.0043 | nan | nan |
auto_metrics notebooks.¶htmls_to_display = []
for am_html in auto_metric_htmls:
html_to_display = ''
# read html into a list of lines
with open(am_html) as f:
lines = f.readlines()
# find section with this antenna's metric plots and add to html_to_display
jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
try:
section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
except ValueError:
continue
html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
for line in lines[section_start_line + 1:]:
html_to_display += line
if '<hr' in line:
htmls_to_display.append(html_to_display)
break
These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.
for i, html_to_display in enumerate(htmls_to_display):
if i == 100:
break
display(HTML(html_to_display))
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 27 | N01 | RF_maintenance | nn Shape | 12.334316 | 10.310278 | 12.334316 | 8.415637 | 8.653680 | 8.840370 | 10.479280 | 1.868329 | 1.334444 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 27 | N01 | RF_maintenance | nn Shape | 14.469575 | 11.022832 | 14.469575 | 11.151138 | 11.425772 | 6.067418 | 7.165154 | 3.626132 | 2.945145 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 27 | N01 | RF_maintenance | nn Shape | 13.589467 | 10.018856 | 13.589467 | 10.954717 | 11.255733 | 6.463248 | 7.756629 | 4.023918 | 3.221366 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 27 | N01 | RF_maintenance | nn Temporal Variability | 16.045572 | 11.335149 | 14.623823 | 14.585936 | 15.064884 | 13.448213 | 16.045572 | 3.305630 | 2.795375 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 27 | N01 | RF_maintenance | nn Shape | 16.009008 | 12.158499 | 16.009008 | 11.723447 | 12.479410 | 9.225372 | 10.495912 | 3.046621 | 2.419538 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 27 | N01 | RF_maintenance | nn Shape | 14.784793 | 11.285012 | 14.784793 | 13.072251 | 13.745323 | 7.338797 | 8.873986 | 2.761064 | 2.466316 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 27 | N01 | RF_maintenance | nn Shape | 18.065544 | 18.065544 | 13.654959 | 15.120092 | 14.302310 | 7.796839 | 6.652344 | 5.643500 | 5.018526 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 27 | N01 | RF_maintenance | nn Shape | 13.532035 | 10.075866 | 13.532035 | 11.178367 | 11.824065 | 5.939832 | 7.247336 | 3.452270 | 2.811575 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 27 | N01 | RF_maintenance | nn Shape | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 27 | N01 | RF_maintenance | nn Shape | 11.446954 | 8.814476 | 11.446954 | 9.572733 | 10.006087 | 8.028623 | 10.237712 | 2.495198 | 1.817822 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 27 | N01 | RF_maintenance | ee Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 27 | N01 | RF_maintenance | nn Shape | 13.439099 | 10.498260 | 13.439099 | 12.730858 | 13.171506 | 7.319440 | 9.296498 | 1.669203 | 1.326949 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 27 | N01 | RF_maintenance | nn Shape | 13.628060 | 10.628122 | 13.628060 | 11.816030 | 12.369375 | 8.053308 | 9.507581 | 1.568117 | 1.306511 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 27 | N01 | RF_maintenance | nn Shape | 13.189658 | 10.218498 | 13.189658 | 10.196691 | 10.831910 | 7.797618 | 9.578014 | 1.372835 | 0.981329 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 27 | N01 | RF_maintenance | nn Shape | 12.353708 | 11.289139 | 12.353708 | 9.474668 | 10.034458 | 10.210294 | 10.950378 | 1.796631 | 2.545125 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 27 | N01 | RF_maintenance | nn Shape | 15.348140 | 12.093565 | 15.348140 | 10.040876 | 10.623430 | 9.206473 | 10.784325 | 1.474650 | 1.024430 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 27 | N01 | RF_maintenance | nn Shape | 12.654438 | 12.654438 | 9.810733 | 10.317807 | 9.832426 | 11.063529 | 9.106198 | 0.864646 | 1.450587 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 27 | N01 | RF_maintenance | nn Shape | 12.831621 | 12.831621 | 9.594489 | 9.434449 | 8.750005 | 9.285440 | 8.038596 | 0.700951 | 1.053730 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 27 | N01 | RF_maintenance | nn Shape | 15.011513 | 15.011513 | 11.493211 | 10.603264 | 10.142070 | 13.253183 | 10.825271 | 0.803615 | 1.187406 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 27 | N01 | RF_maintenance | nn Shape | 12.566610 | 9.488319 | 12.566610 | 9.838097 | 10.468336 | 6.405015 | 7.994966 | 2.392497 | 2.188294 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 27 | N01 | RF_maintenance | nn Shape | 15.456235 | 15.456235 | 11.907127 | 11.297413 | 10.774957 | 11.289829 | 9.415073 | 9.732616 | 6.254041 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 27 | N01 | RF_maintenance | nn Shape | 13.935110 | 13.935110 | 11.408813 | 10.526459 | 9.993185 | 8.642461 | 7.255821 | 2.149682 | 3.120223 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 27 | N01 | RF_maintenance | nn Shape | 13.454309 | 10.408308 | 13.454309 | 10.357270 | 10.909519 | 9.440773 | 12.104785 | 3.167326 | 2.906987 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 27 | N01 | RF_maintenance | nn Shape | 13.099537 | 10.098072 | 13.099537 | 9.912714 | 10.319918 | 9.313680 | 11.186673 | 3.872819 | 6.379010 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 27 | N01 | RF_maintenance | nn Shape | 10.877104 | 8.654340 | 10.877104 | 8.395886 | 8.803095 | 4.537824 | 5.292005 | 2.477638 | 3.275014 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 27 | N01 | RF_maintenance | nn Temporal Variability | 12.396419 | 12.075740 | 9.521608 | 10.976387 | 10.565115 | 12.396419 | 10.478008 | 1.112836 | 1.603033 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 27 | N01 | RF_maintenance | nn Shape | 11.643604 | 11.643604 | 9.358331 | 10.036180 | 9.496914 | 10.844197 | 9.068516 | 5.345249 | 5.348700 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 27 | N01 | RF_maintenance | nn Shape | 12.136962 | 9.742740 | 12.136962 | 8.796780 | 9.386124 | 8.965994 | 10.125302 | 1.208057 | 0.791152 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 27 | N01 | RF_maintenance | nn Shape | 12.331670 | 12.331670 | 9.711045 | 10.105066 | 9.553601 | 10.998893 | 9.384020 | 1.097200 | 1.610562 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 27 | N01 | RF_maintenance | nn Shape | 13.110266 | 10.057518 | 13.110266 | 9.383178 | 9.963550 | 9.263383 | 11.323256 | 1.626160 | 1.205823 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 27 | N01 | RF_maintenance | nn Shape | 12.571078 | 12.571078 | 9.909564 | 10.374235 | 9.874516 | 10.883477 | 9.466361 | 1.324100 | 1.827966 |